Article

Temporally-Informed Random Forests for Suicide Risk Prediction

2021-06-04

Abstract excerpt

<h4>Background</h4> Suicide is one of the leading causes of death worldwide, yet clinicians find it difficult to reliably identify individuals at high risk for suicide. Algorithmic approaches for suicide risk detection have been developed in recent years, mostly based on data from electronics health records (EHRs). These models typically do not optimally exploit the valuable temporal information inherent in these...

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Literature Corpus work: 87e989a7-51bf-59f8-a380-d9f0de76eed4
DOI: 10.1101/2021.06.01.21258179

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